Zane Liu
Be curious.

Creating MedPod

Can we provide a democratic, accessible, and better primary care clinic?

Return to overview › Interface gallery ›

Interviews and Personas

Research, Interviews, and Personas

Although an interaction-based project, MedPod's wide scope and medical relevance meant that extensive research into all aspects of primary care was necessary. In order to create a fully realizable mobile clinic system, deep research was conducted through medical journals and interviews with doctors and potential patients of varying backgrounds.

These behaviors, experiences, and relations were organized and coded to create opportunity diagrams and user journeys for the different personas and user groups.


Plan Views and Touch Points

To design MedPod's interaction experience, we studied different physical and digital touch points of hospitals, existing clinics, and mobile medical systems such as ambulances. Through detailed component diagrams and plan views, MedPod's dimensions and interior space was formulated to best assist up to two individuals at a time.

Accessibility and accommodations were key to creating an easy to use and safe space for patients. Through vehicle automation, MedPod manages to fit in a city-sized footprint.

Concept Iteration

Features and Ergonomics

An intense focus was placed on the physical space of MedPod. There is a great precedence for hygiene and medical features that is expected for any hospital space. Accommodations for different age and health groups presents a challenge for small spaces. Ergonomics and an adaptable space was key.

Our research into available and upcoming non-invasive medical tools were vital to creating a simple and clean primary care experience for MedPod. We spoke with doctors to understand their check up process and how new tools can help streamline or automate the process. Renders created by Saurabh Nimsarkar.


Conversational AI Doctor

The greatest challenge of MedPod was to automate the entire doctor experience. Prototyping a realistic, conversational AI is challenging given that the technology is still emerging. In order to create and demo Joi, primary care dialogues were generated and user tested with doctors and patients. LEDs provide secondary visual cues in the MedPod.

Perfecting the level of professionalism and friendliness in Joi was a challenging experience. Through a controlled demo and IBM's Watson AI voice generator, Joi was brought to life with the addition of a precisely timed digital UI built within Keynote and After Effects. A full scale partial prototype of MedPod's interior was built to demo the experience.